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aup_validate

Validates Classroom AI AUP JSON documents against the v0.1 schema, enforcing conditional rules for scope, roles, and date constraints.

Instructions

Validate a Classroom AI AUP JSON document against the v0.1 schema. Enforces conditional rules: course scope requires non-empty course_ids; assignment scope requires non-empty assignment_ids; assistance_extent_max=none forbids any permitted_roles; expires_at must follow effective_at; roles cannot be both permitted and prohibited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
document_jsonYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses validation rules (e.g., 'course scope requires non-empty course_ids'), but omits error behavior or return format. Adequate but incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph of three sentences, front-loaded with the primary action. Contains no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

As a validation tool with one parameter and no output schema, the description fails to explain the return value (e.g., pass/fail, error list). It also lacks examples or details on how validation results are communicated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only parameter is document_json (string) with no schema description. The description implies the parameter is a JSON string of the AUP document but does not explicitly state its format or requirements.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Validate a Classroom AI AUP JSON document against the v0.1 schema,' using a specific verb and resource. It distinguishes itself from sibling validation tools by focusing on AUP documents and listing specific conditional rules.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like tool_card_validate or disclosure_validate. The description lacks usage context or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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